10.0 or above earthquake before 2027?

A standalone Polymarket weather event with 1 market and $804.7K in lifetime traded volume. 1 markets are trading. Marketlens records every market's order book at full depth, coverage running since August 19, 2026.

Data as of 2026-08-24

Markets
1
Resolved
0
Traded volume
$804.7K
Collected since
2026-08-19

The market in this event

10.0 or above earthquake before 2027?

closes 2026-12-31 · volume $804.7K · last price 0.95%

Query this event

python
from marketlens import MarketLens client = MarketLens() [event] = client.events.list(q="10.0 or above earthquake before 2027", take=1) for market in client.events.markets(event.id, take=5): print(market.question, market.outcomes[0].last_price) # the order book behind any market, at any past moment book = client.orderbook.get(market.id, at="2026-08-16T12:00:00Z") print(book.midpoint, book.bid_depth, book.ask_depth)

Common questions

What data does Marketlens have for "10.0 or above earthquake before 2027"?

1 markets with full depth L2 order book history recorded since August 19, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.

How much has "10.0 or above earthquake before 2027" traded on Polymarket?

$804.7K in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.

How do I download "10.0 or above earthquake before 2027" data?

Query it through the REST API or the Python SDK (pip install marketlens): search events for "10.0 or above earthquake before 2027", list the event's markets, then pull each market's order book history. Bulk Parquet exports cover full markets for offline work, and the free tier includes 25M rows per day.

Related events: Hantavirus pandemic in 2026?, Largest IPO by market cap in 2026?, Where will 2026 rank among the hottest years on record?, or the full event list.

Try it

Pull this event's books in one call

The free tier includes 25M rows per day with full API and full archive access, no card required.

bash
$ pip install marketlens